Issue No.06 - November/December (2000 vol.17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/52.895168
Project LEAP at the University of Hawaii is investigating tools and methods to support low-cost, empirically based software developer improvement. A recent case study provides evidence that guesstimates, when informed by low-cost analytical methods, might be the most accurate method.
Carleton A. Moore, Joseph A. Dane, Robert S. Brewer, "Empirically Guided Software Effort Guesstimation", IEEE Software, vol.17, no. 6, pp. 51-56, November/December 2000, doi:10.1109/52.895168